Temple R. Lee , Sandip Pal , Tilden P. Meyers , Praveena Krishnan , Rick D. Saylor , Mark Heuer
{"title":"复杂地形下落叶林中低层大气边界层湍流的垂直结构","authors":"Temple R. Lee , Sandip Pal , Tilden P. Meyers , Praveena Krishnan , Rick D. Saylor , Mark Heuer","doi":"10.1016/j.agrformet.2025.110745","DOIUrl":null,"url":null,"abstract":"<div><div>It is well known that parameterizations developed using observations from flat terrain have difficulty over complex terrain, which motivates a better understanding of turbulence exchanges occurring in these areas. In this work we addressed the question of how the vertical variability of turbulence features evolves over the lowest few hundred meters of the convective and nocturnal boundary layer above a forested ridge as a function of cloud cover and mean wind. We used one year of observations obtained from a WindCube V2.1 lidar installed in eastern Tennessee in the Southeast U.S. coupled with observations from a 60-m micrometeorological tower. The wind lidar has 20-m range gates spanning from 40 m to 300 m above ground. We used the lidar’s high-frequency observations to derive turbulent kinetic energy (<em>TKE</em>), vertical velocity variance (<span><math><msubsup><mi>σ</mi><mi>w</mi><mn>2</mn></msubsup></math></span>), vertical velocity skewness (<em>S</em>), and kurtosis (<em>K</em>). We observed the largest decrease in the diurnal wind speed on clear, windy days. Under clear sky conditions, increasing <em>TKE</em> and <span><math><msubsup><mi>σ</mi><mi>w</mi><mn>2</mn></msubsup></math></span> yielded positive S throughout the lower convective boundary layer. Under cloudy regimes, the distribution of <em>TKE</em> was height-independent and corresponded with smaller <span><math><msubsup><mi>σ</mi><mi>w</mi><mn>2</mn></msubsup></math></span> and near-zero S. Our results provide insights into turbulence processes over forested complex terrain and support the refinement of turbulence parameterizations used in weather forecast models.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"373 ","pages":"Article 110745"},"PeriodicalIF":5.7000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vertical Structure of Turbulence in the Lower Atmospheric Boundary Layer above a Deciduous Forest in Complex Terrain\",\"authors\":\"Temple R. Lee , Sandip Pal , Tilden P. Meyers , Praveena Krishnan , Rick D. Saylor , Mark Heuer\",\"doi\":\"10.1016/j.agrformet.2025.110745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>It is well known that parameterizations developed using observations from flat terrain have difficulty over complex terrain, which motivates a better understanding of turbulence exchanges occurring in these areas. In this work we addressed the question of how the vertical variability of turbulence features evolves over the lowest few hundred meters of the convective and nocturnal boundary layer above a forested ridge as a function of cloud cover and mean wind. We used one year of observations obtained from a WindCube V2.1 lidar installed in eastern Tennessee in the Southeast U.S. coupled with observations from a 60-m micrometeorological tower. The wind lidar has 20-m range gates spanning from 40 m to 300 m above ground. We used the lidar’s high-frequency observations to derive turbulent kinetic energy (<em>TKE</em>), vertical velocity variance (<span><math><msubsup><mi>σ</mi><mi>w</mi><mn>2</mn></msubsup></math></span>), vertical velocity skewness (<em>S</em>), and kurtosis (<em>K</em>). We observed the largest decrease in the diurnal wind speed on clear, windy days. Under clear sky conditions, increasing <em>TKE</em> and <span><math><msubsup><mi>σ</mi><mi>w</mi><mn>2</mn></msubsup></math></span> yielded positive S throughout the lower convective boundary layer. Under cloudy regimes, the distribution of <em>TKE</em> was height-independent and corresponded with smaller <span><math><msubsup><mi>σ</mi><mi>w</mi><mn>2</mn></msubsup></math></span> and near-zero S. Our results provide insights into turbulence processes over forested complex terrain and support the refinement of turbulence parameterizations used in weather forecast models.</div></div>\",\"PeriodicalId\":50839,\"journal\":{\"name\":\"Agricultural and Forest Meteorology\",\"volume\":\"373 \",\"pages\":\"Article 110745\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural and Forest Meteorology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168192325003648\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Forest Meteorology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168192325003648","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
Vertical Structure of Turbulence in the Lower Atmospheric Boundary Layer above a Deciduous Forest in Complex Terrain
It is well known that parameterizations developed using observations from flat terrain have difficulty over complex terrain, which motivates a better understanding of turbulence exchanges occurring in these areas. In this work we addressed the question of how the vertical variability of turbulence features evolves over the lowest few hundred meters of the convective and nocturnal boundary layer above a forested ridge as a function of cloud cover and mean wind. We used one year of observations obtained from a WindCube V2.1 lidar installed in eastern Tennessee in the Southeast U.S. coupled with observations from a 60-m micrometeorological tower. The wind lidar has 20-m range gates spanning from 40 m to 300 m above ground. We used the lidar’s high-frequency observations to derive turbulent kinetic energy (TKE), vertical velocity variance (), vertical velocity skewness (S), and kurtosis (K). We observed the largest decrease in the diurnal wind speed on clear, windy days. Under clear sky conditions, increasing TKE and yielded positive S throughout the lower convective boundary layer. Under cloudy regimes, the distribution of TKE was height-independent and corresponded with smaller and near-zero S. Our results provide insights into turbulence processes over forested complex terrain and support the refinement of turbulence parameterizations used in weather forecast models.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.